Category: AI

• It all comes together in a perfect storm :: “Keep it Simple”

  Three different levels of information processing show a remarkable alignment. They all are guided by similar principles, which do map and overlap.Let me briefly summarize them: First:Active Inference , a sentient behaviour theory, builds on the free energy principle. FEP implies a coupling between the internal and external states of a system that is symmetric:…

  walterstiers

  2022-11-14

  #Cynefin, #Sensemaking, Active Inference, AI, Biology of Information, Complexity, Creative Thinking, Decision Intelligence, Information Technology, Life Ideas, Neurobiology/psychology, Science, Social-Technical

  #ActiveInference, #DecisionIntelligence, #HumanAI, #ProblemSolvingMind, #TheInformationLens, #Uncertainty, #Wicked

• Technology readiness levels for machine learning systems

  The development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. Lack of diligence can lead to technical debt, scope creep and misaligned objectives, model misuse and failures, and expensive consequences. Engineering systems, on the other hand, follow well-defined processes and testing standards…

  walterstiers

  2022-10-20

  AI, Complexity, Decision Intelligence, Information Technology, Science

  #DecisionIntelligence, #HumanAI

• Beslissen: FEP, AI, Bayes

  “We sample the world to ensure our predictions become a self-fulfilling prophecy.” Karl Friston De beslissingswetenschappen en neurowetenschappen werden recent verrijkt door het principe van vrije energie (Free Energy Principle / FEP) van Karl Friston. FEP is misschien wel het meest allesomvattende idee sinds de theorie van natuurlijke selectie van Charles Darwin. Samenvattend is het…

  walterstiers

  2022-10-11

  AI, Biology of Information, Complexity, Decision Intelligence, Information Technology, Life Ideas, Neurobiology/psychology, Uncategorized

  #ActiveInference, #DecisionIntelligence, #emergence, #FreeEnergyPriciple, #HumanAI, #TheInformationLens

• Rethinking Computational Approaches to the Mind

  Rethinking Computational Approaches to the Mind Fundamental Challenges and Future Perspectives One-day Online Symposium21st October 2022 REGISTER HERE This one-day online event will bring together researchers with expertise in various areas such as complexity science, machine learning & artificial intelligence, information theory & data science, as well as computational/theoretical neuroscience & philosophy to explore different computational approaches…

  walterstiers

  2022-09-08

  #Sensemaking, AI, Biology of Information, Complexity, Decision Intelligence, Information Technology, Life Ideas, Neurobiology/psychology, Science

  #HumanAI, #TheInformationLens, #Uncertainty

• Begin with the decision-maker

  I enjoyed the article “The first step in AI might surprise you” on AI, ML, Data Science from Cassie so much, I decided to steal some quotes: Leaders, figure out who’s calling the shots. If it’s you, then let’s designate you “The Decision-Maker“ for this project. Otherwise, delegate the position to someone else and ask them to read the…

  walterstiers

  2022-08-31

  #Sensemaking, AI, Complexity, Decision Intelligence

  #ActiveInference, #DecisionIntelligence, #HumanAI, #ProblemSolvingMind

• Enhancing human agency through redress in Artificial Intelligence Systems

  […] automation of workflows enabled by AI systems could even go as far as to challenge individual agency, autonomy and active mediation. It is paramount to not only scientifically but also empirically assess new ways to enable active human agency. In terms of policy, […] users lack the means and tools to exercise this agency in the…

  walterstiers

  2022-06-09

  AI, Complexity, Decision Intelligence, Information Technology, Science, Social-Technical

  #DecisionIntelligence, #HumanAI, #Wicked

• Will it ever happen?

  Evolution of Brains and Computers: The Roads Not Taken – Can machines ever achieve true intelligence? , is a perspective article in entropy by Ricard Solé and Luís F. Seoane, has a great discussion on intelligence. When computers started to become a dominant part of technology around the 1950s, fundamental questions about reliable designs and…

  walterstiers

  2022-05-17

  #Wicked, Active Inference, AI, Biology of Information, Complexity, Decision Intelligence, Life Ideas, Neurobiology/psychology, Science

  #DecisionIntelligence, #HumanAI, #TheInformationLens, #Uncertainty, #Wicked

• Digital Twins: Societies are not machines, & optimization is a too narrow approach

  I already did mention the importance of VVUQ when considering operational digital twins. More elaborated is the work from teh ETH Zurich team (Dirk Helbing & Javier Argota Sánchez-Vaquerizo), Digital Twins: Potentials, Limitations, and Ethical Issues. Rather than aiming for perfect digital twins, a predictable future, and total control, one should use computer simulation technology…

  walterstiers

  2022-05-03

  AI, Complexity, Decision Intelligence, Information Technology, Science, Social-Technical, Sustainability

  #DigitalTwin, #HumanAI, #TheInformationLens, #Uncertainty, #Wicked

• Collective Intelligence & information pooling or aggregation

  The review article on “Information aggregation and collective intelligence beyond the wisdom of crowds” describes how collective decision-making is a robust behavioural feature of groups for humans and other gregarious animals. Pooling individual information is also fundamental for modern societies, in which digital technologies have exponentially increased the interdependence of individual group members. Cognitive and…

  walterstiers

  2022-05-03

  #Wicked, Active Inference, AI, Complexity, Decision Intelligence, Information Technology, Social-Technical

  #DecisionIntelligence, #TheInformationLens, #Wicked

• Why Can the Brain (And Not a Computer) Make Sense of the Liar Paradox?

  Ordinary computing machines prohibit self-reference because it leads to logical inconsistencies and undecidability. In contrast, the human mind can understand self-referential statements without necessitating physically impossible brain states. Why can the brain make sense of self-reference? This paper addresses this question by defining the Strange Loop Model, which features causal feedback between two brain modules,…

  walterstiers

  2022-02-09

  AI, Biology of Information, Complexity, Creative Thinking, Decision Intelligence, Information Technology, Life Ideas, Neurobiology/psychology

  #HumanAI, #ProblemSolvingMind, #TheInformationLens